Alex Kreimer's repositories
tensorboard
TensorFlow's Visualization Toolkit
rtags
A c/c++ client/server indexer for c/c++/objc[++] with integration for Emacs based on clang.
caffe
Caffe: a fast open framework for deep learning.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
wikijs
wikijs backup repo
dot_files
collection of dot files
rf_vs_gboost
Random Forest vs. Gradient Boosting for scale estimation
monos
Learn camera motion scale for monocular motion estimation
lisa-caffe-public
Lisa Anne's public caffe code.
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
ORB_SLAM
A Versatile and Accurate Monocular SLAM
actr
Implementation of geometric features extraction from kinematic chains
tensorflow
Computation using data flow graphs for scalable machine learning
vods
GPS track post-processing
opencv
Open Source Computer Vision Library
django_markdown
Django markdown support and wysiwig
django-pagination
Automatically exported from code.google.com/p/django-pagination
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
data_science_delivered
Observations from Ian on successfully delivering data science products
tom-cv
Various computer vision routines by Tom Botterill. Essential matrix estimation+optimisation, BoWSLAM, BaySAC, real-time local mosaicing.
odometry_survey
odometry_survey
programming_questions
A set of interview-like programming exercises
test_repo
test repository